Predicting the Impact of Intervention Strategies for Sleeping Sickness in Two High-Endemicity Health Zones of the Democratic Republic of Congo
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Adding tsetse control to medical activities contributes to decreasing transmission of sleeping sickness in the Mandoul focus (Chad)Do Cryptic Reservoirs Threaten Gambiense-Sleeping Sickness Elimination?An agent-based model of tsetse fly response to seasonal climatic drivers: Assessing the impact on sleeping sickness transmission rates.The impact of passive case detection on the transmission dynamics of gambiense Human African Trypanosomiasis.Assessing Strategies Against Gambiense Sleeping Sickness Through Mathematical Modeling.
P2860
Predicting the Impact of Intervention Strategies for Sleeping Sickness in Two High-Endemicity Health Zones of the Democratic Republic of Congo
description
2017 nî lūn-bûn
@nan
2017 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
Predicting the Impact of Inter ...... e Democratic Republic of Congo
@ast
Predicting the Impact of Inter ...... e Democratic Republic of Congo
@en
Predicting the Impact of Inter ...... e Democratic Republic of Congo
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type
label
Predicting the Impact of Inter ...... e Democratic Republic of Congo
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Predicting the Impact of Inter ...... e Democratic Republic of Congo
@en
Predicting the Impact of Inter ...... e Democratic Republic of Congo
@nl
prefLabel
Predicting the Impact of Inter ...... e Democratic Republic of Congo
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Predicting the Impact of Inter ...... e Democratic Republic of Congo
@en
Predicting the Impact of Inter ...... e Democratic Republic of Congo
@nl
P2860
P50
P921
P1476
Predicting the Impact of Inter ...... e Democratic Republic of Congo
@en
P2093
Crispin Lumbala
P2860
P304
P356
10.1371/JOURNAL.PNTD.0005162
P407
P577
2017-01-05T00:00:00Z